CN107103615A - A kind of monitor video target lock-on tracing system and track lock method - Google Patents

A kind of monitor video target lock-on tracing system and track lock method Download PDF

Info

Publication number
CN107103615A
CN107103615A CN201710217166.2A CN201710217166A CN107103615A CN 107103615 A CN107103615 A CN 107103615A CN 201710217166 A CN201710217166 A CN 201710217166A CN 107103615 A CN107103615 A CN 107103615A
Authority
CN
China
Prior art keywords
target
module
lock
video
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
CN201710217166.2A
Other languages
Chinese (zh)
Inventor
董雄飞
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hefei Kurui Network Technology Co Ltd
Original Assignee
Hefei Kurui Network Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hefei Kurui Network Technology Co Ltd filed Critical Hefei Kurui Network Technology Co Ltd
Priority to CN201710217166.2A priority Critical patent/CN107103615A/en
Publication of CN107103615A publication Critical patent/CN107103615A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/246Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • G06T7/251Analysis of motion using feature-based methods, e.g. the tracking of corners or segments involving models
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/7837Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/7867Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/254Analysis of motion involving subtraction of images
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20212Image combination
    • G06T2207/20224Image subtraction
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30232Surveillance

Abstract

The invention discloses a kind of monitor video target lock-on tracing system, it is characterised in that including:Target image characteristics stuck-module, the characteristic information for obtaining target image sets up object module;Locking module is detected, target detection is carried out for the video image to input, locking needs the moving target followed the trail of;Tracing module, recognizes and follows the trail of the moving target;Target information analysis and arrangement module, the relevant information of lock onto target is gone out for analysis and arrangement;Data memory module, the relevant information for preserving the lock onto target that analysis and arrangement goes out, sets up database;As a result feedback module, for sending track lock object information to user.The monitor video target lock-on tracing system and track lock method of the present invention conveniently and efficiently needs user or target interested is picked out from monitor video, and intuitively reflect the movement locus of target, the time of artificial examination has been saved, the efficiency and accuracy of track lock is improved.

Description

A kind of monitor video target lock-on tracing system and track lock method
Technical field
The present invention relates to computer information technology field, and in particular to a kind of monitor video target lock-on tracing system and lock Determine method for tracing.
Background technology
With the progress of science and technology, the strategic propulsion of the developing of information technology, national " informationization " and smart city Construction, the definition of video camera constantly rises, and cost is constantly reduced, and monitoring network has been dispersed throughout each corner of society, such as Obtaining key message in the massive video information what is quickly and efficiently produced from monitoring network turns into urgent problem to be solved.Public security Criminal policeman is usually requiring to scan for some specific objective in substantial amounts of monitor video during handling case, such as to violating Guilty suspect and the search to vehicle, in traditional search procedure, to target be searched through human eye complete, it is necessary to Substantial amounts of human resources, and degree of accuracy of its search can reduce with the degree of fatigue of people, therefore set up one kind and can search for automatically The system of specific objective seems particularly significant in video.
Prior art is all in real time saved in video image all the time in the storage devices such as hard disk, video-tape, in case Later retrieval, which returns to look into, waits application, but this larger memory space of needs.Although with the development of memory technology, the storage of Large Copacity Equipment can preferably solve this problem, but in view of view data, which inherently has, takes the more defect of byte, therefore i.e. It is the storage device that regardless of expense uses Large Copacity, it is also difficult to preserve all video images in longer period of time.
Prior art carry out Video content retrieval return look into when, it is many by the way of manually returning and looking into, namely adopt With playing preserved video, and artificial judgment is carried out to video, look into mode inefficiency and easily slip for this time.People Work is returned when looking into manually, and the speed of video playback can not be too fast, otherwise target object be likely to a sudden strain of a muscle i.e. without being noted, because This section of 10 hours video, normal speed carries out back being accomplished by or so 10 hours if looking into from the beginning to the end, and is likely to Significant video content only has several seconds or tens seconds, therefore efficiency is very low.And looked into for artificial return, Hui Cha Personnel are watched during video for a long time, and notice can not keep concentrating for a long time, it is easy to fatigue be produced, so even being Return and look into by normal speed, be also likely to appearance and slip and miss relevant information.For its shot using static camera The video image that his application scenarios are obtained, there is also it is same the problem of.
The content of the invention
In view of the shortcomings of the prior art, the present invention provides a kind of monitor video target lock-on tracing system and track lock side Method conveniently and efficiently needs user or target interested is picked out from monitor video, and intuitively reflects target Movement locus, saved the time of artificial examination, improved the efficiency and accuracy of track lock, with higher practical valency Value and widely application prospect.
The present invention solves technical problem and adopted the following technical scheme that:
The invention provides a kind of monitor video target lock-on tracing system, the monitor video target lock-on tracing system bag Include:
Target image characteristics stuck-module, the characteristic information for obtaining target image sets up object module;
Locking module is detected, is connected with the target image characteristics stuck-module, target is carried out for the video image to input Detection, locks the object for meeting the object module that the target image characteristics stuck-module is set up in the video image, that is, needs The moving target to be followed the trail of;
Tracing module, is connected with the detection locking module, after the detection locking module captures the moving target, knows Not and follow the trail of the moving target, return to inactive state until detecting the moving target, stop following the trail of the motion mesh Mark;
Target information analysis and arrangement module, is connected with the tracing module, and the relevant information of lock onto target is gone out for analysis and arrangement, Video image frame sequence information, the type of lock onto target, the characteristic information of lock onto target and locking including the lock onto target The movable information of target;
Data memory module, with the target image characteristics stuck-module, target information analysis and arrangement module, tracing module, inspection Survey locking module to be connected, the relevant information for preserving the lock onto target that analysis and arrangement goes out sets up database;
As a result feedback module, is connected with data memory module, for carrying out classification screening to the information in database, to reduce The number of times that repeats of lock onto target relevant information described in continuous time section internal lock in the selection result, and by final object information Send user to.
Preferably, the characteristic information of the target image includes:HSV color histograms feature, marginal point number and area Ratio characteristic, perception Hash fingerprint characteristic.
Preferably, the video image frame sequence information includes video image temporal information and image frame identification.
Preferably, the system also includes the real-time display module of video, the real-time display module of video and the detection Locking module is connected, for extracting one or more image, Huo Zheyi from video according to the video image frame sequence information Section or multistage video, then show the image of extraction or play the video extracted in real time.
Present invention also offers a kind of monitor video target lock-on method for tracing, comprise the following steps:
(1)User inputs target image, and the characteristic information for extracting input picture sets up object module;
(2)Input video is read, and background model is set up according to the input video, to extract before the motion in each frame of video Scape, and candidate target region is obtained by connected domain detection, asked in the candidate target region using the edge contour estimation technique Go out all objects target frame position, wherein object target frame refers to the rectangle frame for including edge closure object;
(3)The characteristic similarity for having the object target frame of maximum comprehensive similarity with search target in candidate target region is made For the corresponding similarity of candidate target region, it is somebody's turn to do if the comprehensive similarity of candidate target region and search target is more than threshold value locking Target;
(4)Indicated to each containing the frame of video for following the trail of target, sort out its temporal information, the type of lock onto target, lock The characteristic information and the movable information of lock onto target set the goal, and these information are stored, Put on file sets up database;
(5)Needed to contrast the information in database according to user, filter out and follow the trail of the number that target position information is changed According to result is fed back to user by integration frame of video resource.
Preferably, the step(1)Middle background model uses mixed Gauss model.
Preferably, the step(2)In using the edge contour estimation technique obtain property in the candidate target region Body target frame position comprises the following steps:A. the gradient map of target image is calculated;B. gradient map is subjected to multiple dimensioned scaling, obtained Gradient map under different scale;C. the rectangle frame using yardstick as 4*4 travels through each gradient map, respectively from the square of the gradient map Each pixel on shape frame four edges is set out with the direction perpendicular to the side, and calculating runs into first and is more than 64 Grad (i.e. Marginal point) distance, if from each pixel on each side find marginal point distance average be less than 4, judge the square The rectangle frame that shape frame corresponds to artwork by scaling is object target frame.
Preferably, user needs that by login account and password the retrieval system could be entered before input track lock target System.
Compared with prior art, the present invention has following beneficial effect:
(1)The present invention monitor video target lock-on tracing system include target image characteristics stuck-module, detection locking module, Tracing module, target information analysis and arrangement module, data memory module, result feedback module, can comprehensively extract target figure The feature of picture, quickly in monitoring video flow track lock onto target, and carries out lasting tracking to it, and qualified frame of video is entered Rower shows, information extraction and storage, and the storage area of saving, which accelerates video frequency searching by retrieving motion segments, significantly and returned, to be looked into Speed, improve operating efficiency and retrieval rate, reduce wrong report and fail to report possibility, to the database of locking tracking target Arrangement examination is carried out, the validity of information is further increased, high-quality locking tracking result can be fed back to user,
(2)The monitor video target lock-on method for tracing of the present invention sets up background model by mixed Gauss model, utilizes edge The profile estimation technique obtains the characteristic similarity of all objects, more can fast and accurately lock onto target, improve the effect of track lock Rate and accuracy, with widely application prospect.
Brief description of the drawings
By reading the detailed description made with reference to the following drawings to non-limiting example, further feature of the invention, Objects and advantages will become more apparent upon:
Fig. 1 is a kind of monitor video target lock-on tracing system schematic diagram of the embodiment of the present invention 1;
Fig. 2 is a kind of monitor video target lock-on tracing system schematic diagram of the embodiment of the present invention 2;
Fig. 3 is the FB(flow block) of the monitor video target lock-on method for tracing of the embodiment of the present invention 2.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made Embodiment, belongs to the scope of protection of the invention.
Embodiment 1.
As shown in figure 1, a kind of monitor video target lock-on tracing system of the present embodiment, including:Target image characteristics stent Block 1, detection locking module 2, tracing module 3, target information analysis and arrangement module 4, data memory module 5, result feedback module 6。
Wherein target image characteristics stuck-module 1, object module, target are set up for obtaining the characteristic information of target image The characteristic information of image includes:HSV color histograms feature, marginal point number and area ratio feature, perception Hash fingerprint are special Levy;
Locking module 2 is detected, 1 is connected with the target image characteristics stuck-module, mesh is carried out for the video image to input Mark detection, locks the object for meeting the object module that the target image characteristics stuck-module is set up in the video image, i.e., Need the moving target followed the trail of;
Tracing module 3, is connected 2 with the detection locking module, detects that locking module 2 captures the moving target described Afterwards, recognize and follow the trail of the moving target, inactive state is returned to until detecting the moving target, stop following the trail of the fortune Moving-target;
Target information analysis and arrangement module 4,3 are connected with the tracing module, and the related letter of lock onto target is gone out for analysis and arrangement Breath, including the video image frame sequence information of the lock onto target, the type of lock onto target, the characteristic information and lock of lock onto target The movable information set the goal, the video image frame sequence information includes video image temporal information and image frame identification;
Data memory module 5, with the target image characteristics stuck-module 1, target information analysis and arrangement module 2, tracing module 3rd, detection locking module connected 4, the relevant information for preserving the lock onto target that analysis and arrangement goes out sets up database;
As a result feedback module 6, are connected 5 with data memory module, for carrying out classification screening to the information in database, to reduce The number of times that lock onto target relevant information described in continuous time section internal lock repeats in the selection result, and final result is believed Breath sends user to.
The search method of the data retrieval system of the present embodiment, comprises the following steps:
(1)User inputs target image, and the characteristic information for extracting input picture sets up object module;
(2)Input video is read, and background model is set up according to the input video, to extract before the motion in each frame of video Scape, and candidate target region is obtained by connected domain detection, asked in the candidate target region using the edge contour estimation technique Go out all objects target frame position, wherein object target frame refers to the rectangle frame for including edge closure object;
(3)The characteristic similarity for having the object target frame of maximum comprehensive similarity with search target in candidate target region is made For the corresponding similarity of candidate target region, it is somebody's turn to do if the comprehensive similarity of candidate target region and search target is more than threshold value locking Target;
(4)Indicated to each containing the frame of video for following the trail of target, sort out its temporal information, the type of lock onto target, lock The characteristic information and the movable information of lock onto target set the goal, and these information are stored, Put on file sets up database;
(5)Needed to contrast the information in database according to user, filter out and follow the trail of the number that target position information is changed According to result is fed back to user by integration frame of video resource.
Embodiment 2.
As shown in Fig. 2 a kind of monitor video target lock-on tracing system of the present embodiment, including:Target image characteristics stent Block 1, detection locking module 2, the real-time display module 3 of video, tracing module 4, target information analysis and arrangement module 5, data storage Module 6, result feedback module 7.
Wherein target image characteristics stuck-module 1, object module, target are set up for obtaining the characteristic information of target image The characteristic information of image includes:HSV color histograms feature, marginal point number and area ratio feature, perception Hash fingerprint are special Levy;
Locking module 2 is detected, 1 is connected with the target image characteristics stuck-module, mesh is carried out for the video image to input Mark detection, locks the object for meeting the object module that the target image characteristics stuck-module is set up in the video image, i.e., Need the moving target followed the trail of;
The real-time display module 3 of video, the real-time display module 3 of video is connected with the detection locking module 2, for according to institute State video image frame sequence information and one or more image, or one or more snippets video are extracted from video, it is then aobvious in real time The video for the image or broadcasting extraction extracted is shown;
Tracing module 4, is connected with the detection locking module 2, and the moving target is captured in the detection locking module 2 Afterwards, recognize and follow the trail of the moving target, inactive state is returned to until detecting the moving target, stop following the trail of the fortune Moving-target;
Target information analysis and arrangement module 5,4 are connected with the tracing module, and the related letter of lock onto target is gone out for analysis and arrangement Breath, including the video image frame sequence information of the lock onto target, the type of lock onto target, the characteristic information and lock of lock onto target The movable information set the goal, the video image frame sequence information includes video image temporal information and image frame identification;
Data memory module 6, with the target image characteristics stuck-module 1, target information analysis and arrangement module 5, tracing module 4th, detection locking module 2 is connected, and the relevant information for preserving the lock onto target that analysis and arrangement goes out sets up database;
As a result feedback module 7, are connected with data memory module 6, for carrying out classification screening to the information in database, to reduce The number of times that lock onto target relevant information described in continuous time section internal lock repeats in the selection result, and final result is believed Breath sends user to.
As shown in figure 3, present invention also offers a kind of monitor video target lock-on method for tracing, comprising the following steps:
S1:User inputs user name and login password, into monitor video target lock-on tracing system;
S2:User inputs target image, and the characteristic information for extracting input picture sets up object module;
S3:Input video is read, and background model is set up with mixed Gauss model according to the input video, it is each to extract Sport foreground in frame of video, and candidate target region is obtained by connected domain detection, utilized in the candidate target region The edge contour estimation technique obtains all objects target frame position, and wherein object target frame refers to the rectangle for including edge closure object Frame, obtains all objects target frame position step as follows using the edge contour estimation technique:A. the gradient map of target image is calculated;b. Gradient map is subjected to multiple dimensioned scaling, the gradient map under different scale is obtained;C. the rectangle frame using yardstick as 4*4 travels through each Gradient map, each pixel from the rectangle frame four edges of the gradient map is with perpendicular to the direction on the side, meter respectively Calculation runs into first distance for being more than 64 Grad (i.e. marginal point), if finding marginal point from each pixel on each side Distance average be less than 4, then judge that the rectangle frame corresponds to the rectangle frame of artwork as object target frame by scaling;
S4:By the characteristic similarity of the object target frame with search target in candidate target region with maximum comprehensive similarity As the corresponding similarity of candidate target region, if the comprehensive similarity of candidate target region and search target is locked more than threshold value The target;
S5:Indicated to each containing the frame of video for following the trail of target, sort out its temporal information, the type of lock onto target, lock The characteristic information and the movable information of lock onto target set the goal, and these information are stored, Put on file sets up database;
S6:Needed to contrast the information in database according to user, filter out and follow the trail of the number that target position information is changed According to result is fed back to user by integration frame of video resource.
The monitor video target lock-on tracing system and track lock method of the present invention has saved the time of artificial examination, carries The high efficiency and accuracy of track lock, with higher practical value and widely application prospect.
It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, Er Qie In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter From the point of view of which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the present invention is by appended power Profit is required rather than described above is limited, it is intended that all in the implication and scope of the equivalency of claim by falling Change is included in the present invention.Any reference in claim should not be considered as to the claim involved by limitation.
Moreover, it will be appreciated that although the present specification is described in terms of embodiments, not each embodiment is only wrapped Containing an independent technical scheme, this narrating mode of specification is only that for clarity, those skilled in the art should Using specification as an entirety, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art It may be appreciated other embodiment.

Claims (8)

1. a kind of monitor video target lock-on tracing system, it is characterised in that including:
Target image characteristics stuck-module, the characteristic information for obtaining target image sets up object module;
Locking module is detected, is connected with the target image characteristics stuck-module, target is carried out for the video image to input Detection, locks the object for meeting the object module that the target image characteristics stuck-module is set up in the video image, that is, needs The moving target to be followed the trail of;
Tracing module, is connected with the detection locking module, after the detection locking module captures the moving target, knows Not and follow the trail of the moving target, return to inactive state until detecting the moving target, stop following the trail of the motion mesh Mark;
Target information analysis and arrangement module, is connected with the tracing module, and the relevant information of lock onto target is gone out for analysis and arrangement, Video image frame sequence information, the type of lock onto target, the characteristic information of lock onto target and locking including the lock onto target The movable information of target;
Data memory module, with the target image characteristics stuck-module, target information analysis and arrangement module, tracing module, inspection Survey locking module to be connected, the relevant information for preserving the lock onto target that analysis and arrangement goes out sets up database;
As a result feedback module, is connected with data memory module, for carrying out classification screening to the information in database, to reduce The number of times that repeats of lock onto target relevant information described in continuous time section internal lock in the selection result, and by final object information Send user to.
2. monitor video target lock-on tracing system according to claim 1, it is characterised in that the spy of the target image Reference breath includes:HSV color histograms feature, marginal point number and area ratio feature, perception Hash fingerprint characteristic.
3. monitor video target lock-on tracing system according to claim 1, it is characterised in that the video frame image sequence Column information includes video image temporal information and image frame identification.
4. monitor video target lock-on tracing system according to claim 1, it is characterised in that the system also includes regarding The real-time display module of frequency, the real-time display module of video is connected with the detection locking module, for according to the video figure As frame sequence information extracts one or more image, or one or more snippets video from video, extraction is then shown in real time Image or play extract video.
5. a kind of track lock side of monitor video target lock-on tracing system according to claim 1-4 any one Method, it is characterised in that comprise the following steps:
(1)User inputs target image, and the characteristic information for extracting input picture sets up object module;
(2)Input video is read, and background model is set up according to the input video, to extract before the motion in each frame of video Scape, and candidate target region is obtained by connected domain detection, asked in the candidate target region using the edge contour estimation technique Go out all objects target frame position, wherein object target frame refers to the rectangle frame for including edge closure object;
(3)The characteristic similarity for having the object target frame of maximum comprehensive similarity with search target in candidate target region is made For the corresponding similarity of candidate target region, it is somebody's turn to do if the comprehensive similarity of candidate target region and search target is more than threshold value locking Target;
(4)Indicated to each containing the frame of video for following the trail of target, sort out its temporal information, the type of lock onto target, lock The characteristic information and the movable information of lock onto target set the goal, and these information are stored, Put on file sets up database;
(5)Needed to contrast the information in database according to user, filter out and follow the trail of the number that target position information is changed According to result is fed back to user by integration frame of video resource.
6. track lock method according to claim 5, it is characterised in that the step(1)Middle background model is using mixed Close Gauss model.
7. track lock method according to claim 5, it is characterised in that the step(2)In in the candidate target All objects target frame position is obtained in region using the edge contour estimation technique to comprise the following steps:A. the ladder of target image is calculated Degree figure;B. gradient map is subjected to multiple dimensioned scaling, obtains the gradient map under different scale;C. using yardstick as 4*4 rectangle frame time Each gradient map is gone through, is gone out respectively from each pixel on the rectangle frame four edges of the gradient map with the direction perpendicular to the side Hair, calculates and runs into first distance for being more than 64 Grad (i.e. marginal point), if being found from each pixel on each side The distance average of marginal point is less than 4, then judges that the rectangle frame corresponds to the rectangle frame of artwork as object mesh by scaling Mark frame.
8. track lock method according to claim 5, it is characterised in that user needs to lead to before input track lock target The searching system could be entered by crossing login account and password.
CN201710217166.2A 2017-04-05 2017-04-05 A kind of monitor video target lock-on tracing system and track lock method Withdrawn CN107103615A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710217166.2A CN107103615A (en) 2017-04-05 2017-04-05 A kind of monitor video target lock-on tracing system and track lock method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710217166.2A CN107103615A (en) 2017-04-05 2017-04-05 A kind of monitor video target lock-on tracing system and track lock method

Publications (1)

Publication Number Publication Date
CN107103615A true CN107103615A (en) 2017-08-29

Family

ID=59675704

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710217166.2A Withdrawn CN107103615A (en) 2017-04-05 2017-04-05 A kind of monitor video target lock-on tracing system and track lock method

Country Status (1)

Country Link
CN (1) CN107103615A (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108377364A (en) * 2018-02-07 2018-08-07 深圳市亿联智能有限公司 A kind of high efficiency video monitoring mobile object trace mode
CN110705476A (en) * 2019-09-30 2020-01-17 深圳市商汤科技有限公司 Data analysis method and device, electronic equipment and computer storage medium
CN111382603A (en) * 2018-12-28 2020-07-07 顺丰科技有限公司 Track calculation device and method
CN111476179A (en) * 2020-04-10 2020-07-31 深圳市五元科技有限公司 Behavior prediction method for key target, AI tracking camera and storage medium
CN111523397A (en) * 2020-03-31 2020-08-11 深圳市奥拓电子股份有限公司 Intelligent lamp pole visual identification device, method and system and electronic equipment
CN111784741A (en) * 2020-06-29 2020-10-16 杭州海康威视数字技术股份有限公司 Method and system for target cross-mirror distribution control tracking
CN112422909A (en) * 2020-11-09 2021-02-26 安徽数据堂科技有限公司 Video behavior analysis management system based on artificial intelligence
CN113781524A (en) * 2021-09-13 2021-12-10 上海磐启微电子有限公司 Target tracking system and method based on two-dimensional label
CN113837171A (en) * 2021-11-26 2021-12-24 成都数之联科技有限公司 Candidate region extraction method, candidate region extraction system, candidate region extraction device, medium and target detection method
CN112633145B (en) * 2020-12-21 2024-04-26 武汉虚世科技有限公司 WebAR processing method based on 3D detection recognition and moving target tracking

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101299812A (en) * 2008-06-25 2008-11-05 北京中星微电子有限公司 Method, system for analyzing, storing video as well as method, system for searching video
CN101339664A (en) * 2008-08-27 2009-01-07 北京中星微电子有限公司 Object tracking method and system
CN104866616A (en) * 2015-06-07 2015-08-26 中科院成都信息技术股份有限公司 Method for searching monitor video target

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101299812A (en) * 2008-06-25 2008-11-05 北京中星微电子有限公司 Method, system for analyzing, storing video as well as method, system for searching video
CN101339664A (en) * 2008-08-27 2009-01-07 北京中星微电子有限公司 Object tracking method and system
CN104866616A (en) * 2015-06-07 2015-08-26 中科院成都信息技术股份有限公司 Method for searching monitor video target

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108377364A (en) * 2018-02-07 2018-08-07 深圳市亿联智能有限公司 A kind of high efficiency video monitoring mobile object trace mode
CN108377364B (en) * 2018-02-07 2020-09-01 深圳市亿联智能有限公司 High-efficiency video monitoring moving object tracking mode
CN111382603A (en) * 2018-12-28 2020-07-07 顺丰科技有限公司 Track calculation device and method
CN111382603B (en) * 2018-12-28 2023-09-26 顺丰科技有限公司 Track calculation device and method
CN110705476A (en) * 2019-09-30 2020-01-17 深圳市商汤科技有限公司 Data analysis method and device, electronic equipment and computer storage medium
CN111523397B (en) * 2020-03-31 2023-11-24 深圳市奥拓电子股份有限公司 Intelligent lamp post visual identification device, method and system and electronic equipment thereof
CN111523397A (en) * 2020-03-31 2020-08-11 深圳市奥拓电子股份有限公司 Intelligent lamp pole visual identification device, method and system and electronic equipment
CN111476179B (en) * 2020-04-10 2023-02-14 深圳市五元科技有限公司 Behavior prediction method for key target, AI tracking camera and storage medium
CN111476179A (en) * 2020-04-10 2020-07-31 深圳市五元科技有限公司 Behavior prediction method for key target, AI tracking camera and storage medium
CN111784741A (en) * 2020-06-29 2020-10-16 杭州海康威视数字技术股份有限公司 Method and system for target cross-mirror distribution control tracking
CN111784741B (en) * 2020-06-29 2024-03-29 杭州海康威视数字技术股份有限公司 Method and system for target cross-mirror distributed tracking
CN112422909B (en) * 2020-11-09 2022-10-14 安徽数据堂科技有限公司 Video behavior analysis management system based on artificial intelligence
CN112422909A (en) * 2020-11-09 2021-02-26 安徽数据堂科技有限公司 Video behavior analysis management system based on artificial intelligence
CN112633145B (en) * 2020-12-21 2024-04-26 武汉虚世科技有限公司 WebAR processing method based on 3D detection recognition and moving target tracking
CN113781524A (en) * 2021-09-13 2021-12-10 上海磐启微电子有限公司 Target tracking system and method based on two-dimensional label
CN113781524B (en) * 2021-09-13 2023-12-08 上海磐启微电子有限公司 Target tracking system and method based on two-dimensional label
CN113837171A (en) * 2021-11-26 2021-12-24 成都数之联科技有限公司 Candidate region extraction method, candidate region extraction system, candidate region extraction device, medium and target detection method
CN113837171B (en) * 2021-11-26 2022-02-08 成都数之联科技有限公司 Candidate region extraction method, candidate region extraction system, candidate region extraction device, medium and target detection method

Similar Documents

Publication Publication Date Title
CN107103615A (en) A kind of monitor video target lock-on tracing system and track lock method
CN107169106B (en) Video retrieval method, device, storage medium and processor
CN102509118B (en) Method for monitoring video retrieval
EP3566175A1 (en) Systems and methods for behaviour understanding from trajectories
CN103714181B (en) A kind of hierarchical particular persons search method
CN104376003B (en) A kind of video retrieval method and device
CN102207966A (en) Video content quick retrieving method based on object tag
CN105574506A (en) Intelligent face tracking system and method based on depth learning and large-scale clustering
CN101848377B (en) Device and method for intelligent linkage of multi-video recording device based on cloud computing and mass video searching
CN104978567B (en) Vehicle checking method based on scene classification
Nguyen et al. Anomaly detection in traffic surveillance videos with gan-based future frame prediction
Bianco et al. Local detectors and compact descriptors for visual search: a quantitative comparison
CN107408119A (en) Image retrieving apparatus, system and method
Zhong et al. Dense moment feature index and best match algorithms for video copy-move forgery detection
CN104486585B (en) A kind of city magnanimity monitor video management method and system based on GIS
CN103020606A (en) Pedestrian detection method based on spatio-temporal context information
CN112541434B (en) Face recognition method based on central point tracking model
Meng et al. Descriptive temporal template features for visual motion recognition
Li et al. End-to-end multiplayer violence detection based on deep 3D CNN
CN103187083B (en) A kind of storage means based on time domain video fusion and system thereof
Di Benedetto et al. An embedded toolset for human activity monitoring in critical environments
CN109684986A (en) A kind of vehicle analysis method and system based on automobile detecting following
CN104504162B (en) A kind of video retrieval method based on robot vision platform
CN106887014A (en) A kind of pedestrian track matching process across camera
Mohammad et al. Searching surveillance video contents using convolutional neural network

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WW01 Invention patent application withdrawn after publication

Application publication date: 20170829

WW01 Invention patent application withdrawn after publication